Boinc manager use gpu only full#
This will tell BOINC to dedicate 1 CPU core and a defined fraction of the GPU to a given task.Ĭurrently, the following number of concurrent tasks is likely required to have full GPU utilization. To run 3 tasks, use 0.33, 4 tasks will use 0.25 and 5 tasks will use 0.2, etc. To run more than two tasks, keep decreasing the value. Each unit will get a full CPU core and half of the GPU. Once that is saved, select the Options menu in BOINC and click "Read Config Files" and two units should start running at the same time. To make sure this is the case, show file name extensions in the folder (instructions here ) txt file with “app_config.xml” as the name. Put the following text in it and save the file txt) in your Amicable Numbers data directory (on Windows the default location is C:\ProgramData\BOINC\projects\_boinc_amicable\). To run two tasks concurrently, make a file called app_config.xml (make a text file, then change the extension to. They are very general, but should be in the right ballpark. Keep in mind that this number will be affected by your CPU speed, CPU cache size, RAM speed, number of cores you are using, whether hyperthreading or SMT is enabled on your CPU, etc.
Boinc manager use gpu only how to#
To determine GPU utilization you can use Hardware Info 64 ( ), GPU-Z ( ) or any other software you prefer.īelow I have put some directions together for how to run multiple tasks on a GPU and some general guidelines for how many concurrent tasks are likely required to get full utilization on some common GPUs. Once it reaches ~85% I will begin running 3 concurrent tasks. For owners of any Nvidia Turing (RTX 20-series) or Volta cards, the utilization issue has existed for a week or more already, and we are fast approaching the time when GTX 1080ti and other high performance cards will be affected.Įight days ago I switched to 2 concurrent tasks on my RTX 2070 and utilization is now hovering around 98%, but slowly beginning to decrease. If you would like to keep GPU utilization high, you will need to run more than 1 task per GPU at some point. The reason for this is that each task requires all of the prime numbers in an ever-growing range to be calculated, and this calculation can only be performed by the CPU.Īs we approach the end of the project the CPU time for each task will continue to increase, and once it reaches the run time for a given task, you will notice that your GPU utilization begins to decrease. I am sure that many of you have noticed that the ratio of CPU time to run time for each task has been steadily increasing.
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